Publications
AI-driven Simulation and Design Lab
Name*: Contributed equally
Name: Corresponding author
A computational framework for investigating the mechanical stresses on breast implants under dynamic loading conditions
Seungkwan Lee, Ju Yeon Park, Sinwoo Park, Jungju Kim, Il-Seok Jang, Ju-Dong Song, and Do-Nyun Kim
submitted, (2024)
A framework for computational design of polyacrylamide hydrogels with high mechanical fidelity
Seunghyok Rho, Heeyuen Koh, Ji Woong Yu, Hye Been Koo, Sebin Kim, Je-Yeon Jung, EunYeong Jung, Chongyong Nam, Jae Young Lee, Kyounghwa Jeon, Jae-Byum Chang, Do-Nyun Kim, and Won Bo Lee
Interpolation Mesh-Graph Net using disconnected spatial graphs of higher order element based meshes
Jozsef Adam Sebestyen and Do-Nyun Kim
Accelerating continuum-based protein dynamics simulation using three-dimensional mixed overlapping element
Giseok Yun and Do-Nyun Kim
Rapid estimation of residual stress in composite laminates using a deep operator network
Seung-Woo Lee, Teubes Christiaan Smit, Kyusoon Jung, Robert Grant Reid, and Do-Nyun Kim
in revision, (2024)
Nested surrogate model for discrete parameter optimization of structural reliability analysis
Hongseok Kim, Dooyoul Lee, and Do-Nyun Kim
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, in press, (2024)
A DNA origami pivot hinge driven by DNA intercalators
Taehwi Kim and Do-Nyun Kim
ACS Nano, in press, (2024)
Acoustic deep brain modulation: enhancing neuronal activation and neurogenesis
Hwichan Ham, Kyu-Sik Kim, Jee-Hwan Lee, Do-Nyun Kim, Hyung-Jin Choi, and Jack J. Yoh
Brain Stimulation, 17: 1060-1075, (2024)
Two-step sub-modeling framework for thermomechanical fatigue analysis of solder joints in DRAM module
Hyun Suk Lee, Giseok Yun, Ju-Hwan Song, and Do-Nyun Kim
Microelectronics Reliability, 160: 115469, (2024)
Mechanical meta-sheets with independently tunable Poisson’s ratio and coefficient of thermal expansion
*Duhwan Kang, *Jeong Min Hur, and Do-Nyun Kim
Materials & Design, 244: 113187, (2024)
Predicting the effect of binding molecules on the shape and mechanical properties of structured DNA assemblies
Jae Young Lee, Yanggyun Kim, and Do-Nyun Kim
Nature Communications, 15: 6446, (2024)
Prediction of DNA origami shape using graph neural network
*Chien Truong-Quoc, *Jae Young Lee, Kyung Soo Kim, and Do-Nyun Kim
Nature Materials, 23: 984-992, (2024)
Accelerating topology optimization using deep learning-based image super-resolution
*Jaekyung Lim, *Kyusoon Jung, Youngsuk Jung, and Do-Nyun Kim
Engineering Applications of Artificial Intelligence, 133: 108370, (2024)
DNA hydrogels with programmable condensation, expansion, and degradation for molecular carriers
Kyounghwa Jeon, Chanseok Lee, Jae Young Lee, and Do-Nyun Kim
ACS Applied Materials & Interfaces, 16: 24162–24171, (2024)
Auxetic pattern design for concentric-tube robots using an active DNN-metaheuristics optimization
Jieun Park*, Jeong Min Hur*, Soyeon Park, Do-Nyun Kim, and Gunwoo Noh
Thin-Walled Structures, 197: 111603, (2024)